Location
toronto, on, Canada
Posted
June 16, 2026
Job Description
Drive innovation in cybersecurity as a Machine Learning Engineer at Doppel. Contribute to building AI systems that protect brands against digital threats using state-of-the-art technology.
At Doppel, a rapidly growing Series C startup, you will design, train, and deploy machine learning models that enable real-time threat detection. This role involves collaborating closely with Detection and Infrastructure teams to ensure scalability while tackling complex issues in NLP, anomaly detection, and data classification. Your efforts will directly impact our defense strategies against ever-evolving social engineering threats.
Key Responsibilities:
• Design and deploy ML models for real-time inference
• Collaborate with teams to scale detection systems
• Solve challenges in NLP and anomaly detection
• Translate threats into effective ML solutions
• Work on large-scale datasets and distributed systems
Requirements:
• Experience deploying ML systems in production
• ...
At Doppel, a rapidly growing Series C startup, you will design, train, and deploy machine learning models that enable real-time threat detection. This role involves collaborating closely with Detection and Infrastructure teams to ensure scalability while tackling complex issues in NLP, anomaly detection, and data classification. Your efforts will directly impact our defense strategies against ever-evolving social engineering threats.
Key Responsibilities:
• Design and deploy ML models for real-time inference
• Collaborate with teams to scale detection systems
• Solve challenges in NLP and anomaly detection
• Translate threats into effective ML solutions
• Work on large-scale datasets and distributed systems
Requirements:
• Experience deploying ML systems in production
• ...